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Connectors / Data and analytics · HTTP Connector

Automate Dataiku with Tray.ai

Create a project, create a dataset and create a scenario in Dataiku. Connect Dataiku to the rest of your data and analytics stack with Tray.ai.

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What can you do with Dataiku on Tray.ai?

Dataiku is a data science and AI platform where teams prepare data, build machine learning models and run automated data pipelines in shared projects. Tray.ai connects to Dataiku through the HTTP Connector, so your workflows can call the Dataiku API alongside the rest of your stack.

Connects through
HTTP Connector
Authentication
A bearer token or basic authentication

What the Dataiku API covers

4 resources and 17 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow.

Projects

  • List projects
  • Create a project
  • Delete a project

Datasets

  • Create a dataset
  • Get a dataset
  • Update a dataset
  • Read dataset data
  • Delete a dataset

Scenarios

  • List scenarios
  • Create a scenario
  • Run a scenario
  • Abort a scenario
  • Get last runs

Jobs

  • Start a job
  • Get a job
  • Abort a job
  • Get a job log

Checked against Dataiku's own documentation on 2026-10-22

doc.dataiku.com/dss/latest/publicapi/rest.html

Frequently asked questions

What can a Tray.ai workflow do in Dataiku?

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The Dataiku API documents 17 actions across 4 resources (Projects, Datasets, Scenarios, Jobs). For example: List projects; Create a dataset; List scenarios. A workflow can make any documented call through the HTTP Connector.

How does Tray.ai authenticate with Dataiku?

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The Dataiku API uses a bearer token and basic authentication. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.

See Dataiku working against your stack.

We'll walk through a tailored demo with your systems plugged in.

Great — a couple more details

This helps us connect you with the right person. Optional, and you can skip it.